In this paper we explore the performances and the opportunities provided by the European satellite Sentinel-1 for water resource management applications in low-income countries. The analysis is supported by a synthetic aperture radar (SAR) simulator, which allowed the quantification of the expected characteristics of Sentinel-1 products in three applications: interferometric digital elevation m...

Spectral unmixing is a critical issue in multi-spectral data processing, which has the ability to identify the constituent components of a pixel. Most of the hyperspectral unmixing current methods are based on Linear Mixture Model (LMM) and have been widely used in many scenarios. However, both the noise contained in the LMM and the requirement of essential prior knowledge strongly limit their ...

A general framework is proposed for behavior modeling, analysis and synthesis. This allows a better understanding and evaluation of the nature and role of behavior models in the following disciplines: ethology, robot behavior specification, animated character behavior specification, and automatic behavior analysis. In addition, it is argued that the following aspects of a system’s behavior usef...

In marketing and advertising, developing and managing brands value represent the core activities performed by companies. Successful brands attract buyers and adopters, which in turn increase the companies’ value. Given a set of user-item adoption data, can we infer brand effects from users adopting items? To answer this question, we develop the Brand Item Topic Model (BITM) that incorporates us...

We present a new class of models for high-dimensional nonparametric regression and classification called sparse additive models (SpAM). Our methods combine ideas from sparse linear modeling and additive nonparametric regression. We derive a method for fitting the models that is effective even when the number of covariates is larger than the sample size. A statistical analysis of the properties ...

The agricultural informatization contribution rate is the proportion of the contribution of agricultural informatization to the algebraic summation of agricultural economy growth accounting for the agricultural economy growth. It is a comprehensive index which reflects the function of agricultural informatization in enhancing agricultural productivity and agricultural economy development. This ...

Gaussian processes retain the linear model either as a special case, or in the limit. We show how this relationship can be exploited when the data are at least partially linear. However from the perspective of the Bayesian posterior, the Gaussian processes which encode the linear model either have probability of nearly zero or are otherwise unattainable without the explicit construction of a pr...

Mixture models are the term given to models that consist of a combination of independent functions creating the distribution of points within a set. We present a framework for automatically discovering and evaluating candidate models within unstructured data. Our abstraction of models enables us to seamlessly consider different types of functions as equally possible candidates. Our framework do...

We show a framework for growth analysis of plant roots in object coordinates which is one requirement for the botanical evaluation of growth mechanisms in roots. The method presented here is appliable on long image sequences up to several days, it has no limit for the sequence length. First we estimate the displacement vector field with the structure tensor method. Thereafter we determine the p...

In our previous work, we have developed a speech modification system capable of manipulating unobserved articulatory movements by sequentially performing speech-to-articulatory inversion mapping and articulatory-to-speech production mapping based on a Gaussian mixture model (GMM)-based statistical feature mapping technique. One of the biggest issues to be addressed in this system is quality deg...